Kristiyan Sakalyan
Scholar

Kristiyan Sakalyan

Google Scholar ID: 1H2U8RIAAAAJ
Student, Technical University of Munich
machine learningdeep learning
Citations & Impact
All-time
Citations
1
 
H-index
1
 
i10-index
0
 
Publications
1
 
Co-authors
4
list available
Resume (English only)
Research Experience
  • Research Scientist, Helmholtz Munich, Oct 2025 – Present, part of the EML Group led by Prof. Dr. Zeynep Akata.
  • Modeling Microenvironment Trajectories on Spatial Transcriptomics, TUM, Jan 2025 – Sep 2025: Graph and point cloud modeling of single-cell dynamics using Flow Matching and Optimal Transport.
  • Conditional Flow Matching for Temporal Graphs, TUM, Oct 2024 – Jan 2025: Extended flow matching to dynamic temporal graphs.
  • Continual Learning for Domain-Incremental Semantic Segmentation, ZEISS / MDSI / TUM, Apr 2024 – Oct 2024: Reduced catastrophic forgetting in medical imaging using contrastive learning.
  • Explainable Document Embeddings, TUM, Oct 2023 – Apr 2024: Extended Bag-of-Concepts framework with LLM-based concept labeling.
  • Patch by Patch Coarse-to-Fine 3D Shape Refinement, TUM, Oct 2023 – Feb 2024: Enhanced geometric detail via patch-based refinement.
  • Bachelor's Thesis, TUM & reFit Systems GmbH, Nov 2021 – Mar 2022: Developed a multi-object tracking method to automate marker annotation for motion capture.